Bio-Inspired Credit Risk Analysis Computational Intelligence with Support Vector Machines

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Synopsis

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

Book details

Edition:
2008
Author:
Lean Yu, Shouyang Wang, Kin Keung Lai, Ligang Zhou
ISBN:
9783540778035
Related ISBNs:
9783540778028
Publisher:
Springer Berlin Heidelberg
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2022-08-28
Usage restrictions:
Copyright
Copyright date:
2008
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Nonfiction, Science